Internet and Video Game Addictions

Sussman, Clifford; Harper, James M.; Stahl, J; Weigle, Paul E.

doi:10.1016/j.chc.2017.11.015

Cited by 140 publications

(60 citation statements)

References 124 publications

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“…Furthermore, gaming disorder, which includes both online and offline gaming, was recently included as a formal diagnostic entity in the 11th edition of the International Classification of Diseases (ICD-11) [2], and distinguished from hazardous gaming. Prevalence of adolescent IGD varies across studies, due to differences in regions, assessment criteria, and socio-cultural variables involved in the studies [3]. A systematic review reported that it ranged from 3.5% to 17% in mainland China [4].…”

Section: Introductionmentioning

confidence: 99%

Prevalence and Interpersonal Correlates of Internet Gaming Disorders among Chinese Adolescents

Yang

Jiang

et al. 2020

IJERPH

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This study investigated the prevalence and interpersonal correlates of Internet gaming disorders (IGD) among Chinese adolescents. A cross-sectional survey was conducted in two cities (Shanghai and Xi’an) in China. A total of 2666 (Meanage = 12.77 ± 0.75) year-one students from eight middle schools completed a self-reported questionnaire. It tested their levels of IGD, parental psychological control, negative interpersonal events (physical/verbal abuse by parents, verbal abuse by teachers, peer/online bullying), social support from parents/peers, and positive relationships with parents/peers. Results showed that 346 participants (13.0%) were classified as having IGD. Gender, city, single-parent family, family socio-economic status, and mother’s education level were significantly associated with the risk of IGD. Logistic regression analyses with and without controlling for the significant background variables showed that the studied interpersonal variables were significantly associated with IGD, respectively. Forward stepwise logistic regression showed that the significant correlates of IGD included parental psychological control, physical/verbal abuse by parents, verbal abuse by teachers, and peer/online bullying. Results highlight the importance of addressing interpersonal risk factors to reduce adolescent IGD. Limitations and implications of this study are discussed.

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Section: Introductionmentioning

confidence: 99%

Prevalence and Interpersonal Correlates of Internet Gaming Disorders among Chinese Adolescents

Yang

Jiang

et al. 2020

IJERPH

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“…A prior study reported that 60% of adolescents in the UK are highly addicted to their smartphones [2], and the rate of smartphone addiction among adolescents was double for adults in South Korea [2]. Prior studies have suggested some neurobiological evidences of the vulnerability toward smartphone addiction among adolescents, such as the dual processing model and an imbalance between the go and stop networks [4,5].…”

Section: Introductionmentioning

confidence: 99%

Psychological Characteristics and Addiction Propensity According to Content Type of Smartphone Use

Ahn

Kim

2020

IJERPH

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The aim of this study was to evaluate the association between content type of smartphone use and psychological characteristics and addiction propensity, including the average time of smartphone use and problematic smartphone use. Data were obtained from the 2017 Korea Youth Risk Behavior Web-Based Survey, a nationally representative survey of middle- and high-school students (n = 62,276). The content type of smartphone use was divided into four categories: (1) Study, (2) Social-Networking Services (SNS), (3) Game, and (4) Entertainment. The association of depressive mood and suicidal ideation with content type of smartphone use was analyzed, using multiple and binary logistic regression analyses, respectively. The relationship between content type of smartphone use and time spent on smartphone use and problematic smartphone use was analyzed by using multiple logistic regression, adjusted for related covariables. The results of this study revealed that depressive mood and suicidal ideation were significantly associated with the SNS smartphone use group, compared with the other groups. Our results also indicate that the SNS group showed higher addiction propensity, such as overuse and experiencing adverse consequences of smartphone use.

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“…Similarly, interactive media use, especially access to smartphones, increased from 73% in 2014 to 95% in 2018 (Lenhart, 2015b;Pluhar et al, 2019). Although the increment is clear, the prevalence rates for PIU vary among the studies ranging between 0.8% to 14% (Poli & Agrimi, 2012;Sussman, Harper, Stahl, & Weigle, 2018;Wu et al, 2013). The large discrepancies between the studies may be related to diagnostic tools, methodological differences, population-based, cultural differences, and diverse behavioral norms (Kawabe et al, 2016;Pluhar et al, 2019;Rich, Tsappis, & Kavanaugh, 2018).…”

Section: Highlightsmentioning

confidence: 99%

Screen use habits among children and adolescents with psychiatric disorders: A cross-sectional study from Turkey

et al. 2020

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In this cross-sectional study, we investigated screen use habits, problematic internet use (PIU), and screen-psychopathology relationship in a clinical sample of children and adolescents. The study included 277 children and adolescents (129 [46.4%] girls) aged between 6-17 years referred to a psychiatry outpatient setting for various reasons. All parents completed the Strengths and Difficulties Questionnaire (SDQ), while adolescents also completed the Internet Addiction Test (IAT). The mean screen time was 3.85 (SD = 2.72) hours per day. Longer screen times were found among children and adolescents with specific psychiatric disorders compared to those with no psychiatric symptoms; especially among those with internalizing disorders (i.e., an anxiety disorder and/or depression), but also with attention deficit/hyperactivity disorder and/or conduct disorder. Longer screen time may be related with more functioning impairments. Based on the IAT, 2.1% of adolescents may have PIU. The findings from this study suggest that children and adolescents with psychiatric symptoms may have prolonged screen times. This needs to be taken into account during diagnostic and therapeutic procedures.

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Internet and Video Game Addictions

Cited by 140 publications

References 124 publications

Prevalence and Interpersonal Correlates of Internet Gaming Disorders among Chinese Adolescents

Prevalence and Interpersonal Correlates of Internet Gaming Disorders among Chinese Adolescents

Psychological Characteristics and Addiction Propensity According to Content Type of Smartphone Use

Screen use habits among children and adolescents with psychiatric disorders: A cross-sectional study from Turkey

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